NVIDIA includes AI optimizations in its graphics drivers for RTX GPUs

Reportedly, NVIDIA will add AI improvements to the next graphics drivers released this year to improve GPU performance. Artificial intelligence, or AI, has become the watchword for technical improvements, especially in discovering new scientific discoveries, pharmaceuticals, software and PC components. It should come as no surprise that PC components, especially NVIDIA’s Game Ready drivers, can pave the way for greater involvement in graphics. Additionally, it is important to note that the information in this article is purely speculative and NVIDIA has not validated any of the claims made in this article.

Numerous next-generation games, including some older ones (Quake RTX and Portal RTX), have benefited from the improved performance and quality of the NVIDIA Game Ready Drivers library, demonstrating that NVIDIA is living up to the promises it has made regarding its AI strategy last year. In this regard, AI can help with achievements and other relevant instructions and tasks, allowing games to run more smoothly with less graphical distortion, taking some or all of the processing load off the CPU and processing information better or more efficiently.

CapFrameX announced on Twitter that the NVIDIA Game Ready drivers would be optimized this year with artificial intelligence improvements, which may be sooner than expected. It should be noted that the Twitter leaker presented this as a rumor and it should be seen as a future possibility. It remains to be seen whether these improvements will be delivered through a separate suite or integrated into existing RTX technologies such as DLSS, which rely largely on AI Tensor cores. NVIDIA has promised to include a number of improvements and release a significant upgrade to DLSS by the end of this quarter.

AMD also plans to include AI in its future FSR 3 technology, while its new Ryzen 7040 ‘Phoenix’ APUs use Xilinx-based AI technology for faster ML and DNN capabilities. This new driver enhancement would take advantage of the AMD Radeon Super Resolution, which improves certain latency improvements and upscaling across the entire system, as opposed to just one computer component. With the introduction of its tensor core architecture, NVIDIA is at the forefront of AI innovation, and these cores are expected to play an important role if the rumor is true. Since this is highly speculative, it is uncertain how this would function or what technology would be required.

Via WCCFTech

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